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Oklahoma Fishery Research Laboratory, Norman, Oklahoma
The U.S. Fish and Wildlife Service as a part of their National Reservoir Research Program (NRRP) and the Oklahoma Department of Wildlife Conservation (ODWC) independently estimated angleruse on 25 Oklahoma reservoirs for 1975. The Fish and Wildlife Service utilized a multiple regression equation that relates fishing pressure to various physical parameters of 103 U.S. reservoirs in order to predict angler use. The ODWC utilized aerial observations. There was a positive relationship between NRRP predictions and ODWC estimates. However, compared to ODWC estimates the NRRP predictions of angleruse on these reservoirs were consistently higher. It is suggested that another factor, perhaps the ratio of fishing license sales to water surface area of a state or region, should be considered in the NRRP prediction.
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The creel survey became a tool for evaluating management practices and predicting management needs as early as 1920 (1). Even today, however, one of the main problems facing fishery biologists is that of obtaining accurate creel survey estimates. Generally, the amount of time and effort available for a creel survey limits its accuracy. A total count and interview of all sport fishermen is often not economically feasible, and some form of abbreviated survey becomes necessary. Because few comparisons of actual data generated by these different methods have been made, it is difficult to select the best one. If several methods yield reasonably comparable results, there is a rational basis for choosing the least cumbersome. For this reason, the following comparison was made.
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During 19741975 the Oklahoma Department of Wildlife Conservation (ODWC) initiated a creel survey on 47 Oklahoma impoundments greater than 200 hectares and on 17 small impoundments owned by the ODWC. After one year, estimates of harvest and angler use were obtained. Angleruse estimates for 25 of these reservoirs are shown in Table 1. Angleruse estimates were made by taking periodic counts from an aircraft. Although the periods between flights varied, counts were made on weekdays, weekends and major holidays during the year. The mean value for these counts was then multiplied by the annual number of daylight hours available for fishing. No estimate of nocturnal angleruse was attempted.
Prior to this census, the U.S. Fish and Wildlife Service under the National Reservoir Research Program (NRRP) compiled data for predicting fish production
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in Oklahoma (2). This program also predicted angleruse on 50 Oklahoma reservoirs using a multiple regression prediction equation. Regression coefficients for this equation were obtained by relating data on diurnal angleruse of 103 United States reservoirs to various environmental variables of these reservoirs. Angleruse figures for the 103 reservoirs had been previously obtained by creel census techniques. Environmental variables used in the equation were reservoir age, total dissolved solids, length of growing season, surface area, and storage ratio. Both ODWC and NRRP estimates of angleruse are based on 4hour anglerdays.
In the present comparison, simple linear regression and correlation were used to relate the estimates of angleruse obtained by the two methods.
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Introduction  Methods and Materials  Results  Discussion  References  Table of Contents  Home 
The NRRP predictions exceeded the ODWC estimates of anglerdays for each reservoir (Table 1) by an average of nearly 64,000 days (Figure 1). In every case but one, the NRRP predictions exceeded the ODWC estimate. The data were positively correlated and the r value (0.7449) was significantly different from zero using a Student's ttest (P < 0.01) (3). Although perfect correlation of angleruse for each reservoir was not obtained, there was a definite positive relationship between the two methods. The least squares equation for the regression of NRRP predictions (Y) on ODWC prediction (X) was:
Y = 63899.5 + 1.160 X
Thus, an increase of 10,000 anglerdays by the ODWC predictions was accompanied by an approximately equal increase of 11,600 anglerdays by NRRP estimates. The increases shown by the two methods were, in fact, shown not to differ significantly: a Student's ttest (4) indicated the slope (b) of our equation did not significantly differ from 1.0 (P > 0.4).
Introduction  Methods and Materials  Results  Discussion  References  Table of Contents  Home 
In any largescale creel survey the investigator must choose between a relatively expensive field census, such as was used to obtain the ODWC estimates, and a less expensive inferential model such as the NRRP equation.
In the present comparison, it appears that the NRRP equation was similar to the ODWC census in providing the order of angleruse for 25 Oklahoma reservoirs. For economic reasons, then, the NRRP equation would seem more practical for relative comparisons of angleruse between reservoirs. However, the NRRP equation produced consistently higher estimates of angleruse than the ODWC's aerial survey. Therefore, estimates based on reliable data obtained from the actual reservoirs in question are preferable to those obtained by use of the NRRP equation in cases where estimates of actual rather than relative values of angleruse are needed.
In examining the NRRP equation, one additional factor was found which may have merit for consideration if results from use of the equation are to become more comparable to ODWC estimates. While nonresident fishing may contribute a slight amount to the total angler effort, it is felt that the abundance of water area in relation to license sales is a factor presently limiting realization of the angler potential in Oklahoma as predicted by the NRRP equation. The average reservoir used to produce the NRRP equation was located in a state that had 2.01 times as many license holders per hectare of impounded water (reservoirs over 200 hectares) as Oklahoma. From data obtained from the U.S. Fish and Wildlife Service, it appears that Oklahoma sold only about 2 percent of the total annual fishing licenses in the United States in 1975 (636,494), although it ranked second in the total surface area of impounded water (238,760 hectares).
The authors wish to express their appreciation to Robert Jenkins of the U.S. Fish and Wildlife Service for providing information for this comparison. Work of the employees of the Enforcement and Fish Divisions of the Oklahoma Department of Wildlife Conservation in gathering data for the Creel Survey is appreciated. Funds for this investigation were obtained from Federal Aid in Fish Restoration under DingellJohnson Project F15, State of Oklahoma.
Introduction  Methods and Materials  Results  Discussion  References  Table of Contents  Home 
1. V.E.F. SOLOMAN, Trans. N. Am. Wildlife Conf. 16: 225233 (1951).
2. R. M. JENKINS, Ann. Okla. Acad. Sci. 5: 1120 (1976).
3. R. R. SOKAL and F. J. ROHLF, Biometry, W. H. Freeman and Company, San Francisco, Cal., 1970.
4. R.G.D. STEEL and J. H. TORRIE, Principles and Procedures of Statistics, McGrawHill Book Company, Inc., New York, Toronto and London, 1960.